A absurd problem about "raplace missing value" operator

I used "filter examples " operator to handle missing values and I am sure there are no missing values after that. But when I used "cross validation" and "neural net" to be my testing model, Rapidminer showed me that "neural net cannot handle missing values". Then I clicked " help me to solve the problem", a "replace missing values" operator automatically appeared on my process. However, I still can't run my process because Rapidminer showed me "attribute filter does not match any attributes". Does it means I can't use "replace missing values" because there are no value missing? I really don't know how to solve this problem.

Could anyone help me? Thanks a lot!!

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Accepted answers

lionelderkrikor

May,

You can find in attached file , the working process :
- I set your label attribute to NOMINAL
- I set your attributes "text" and " Title" to "Id" so that they are not taken into account by the model during training...

Have a nice day,

Regards,

Lionel

Process_documents_neural_networks.rmp

All comments

May_LIN_01

I clicked "help me to solve the problem" again after Rapidminer showed "attribute filter does not match any attributes". However, there was no any solution for me this time.

lionelderkrikor

Hi @May_LIN_01,

Can you please provide your process and your dataset in order to reproduce the problem and in order to understand your problem ?

Regards,

Lionel

May_LIN_01

lionelderkrikor Sure！！Thanks for your help!

Regards,

May

lionelderkrikor

Process_documents_neural_networks.rmp

May_LIN_01

@lionelderkrikor，I ran my process successfully with your help! Thanks you so much for helping me solve the problem!

I suddenly realize that i didn't tell you what am i going to do, i mean the purpose of the whole process. So i think you will probably be confused... It's my first time to post on rapidminer community, so i don't know what should i do... Really sorry for that

Hope it haven't waste you a lot of time...

Regards,

May